10/19/2023 0 Comments Ml super resolution![]() ![]() Darker results represent greater noise and less tonal uniformity (more pixels further away from dominant grey level). A brighter result represents low noise levels and a tonal uniformity (most pixels at dominant grey level). Kurtosis-analytical: detects the peakedness of an image.Can be used to determine tonal and spatial differences between images. Skewness-analytical: highlights edge detail and indicates the intensity of pixel value distribution.More intense distributions are shown very clearly. Variance-analytical: as Standard Deviation, indicates how pixel values are spread between images.Useful for object removal as it clearly indicates areas that will be averaged out with a Median operator. Standard Deviation-analytical: measures the distribution of information between the images.Usually results in overexposure, but can be used to lighten very underexposed imagery. Total-produces the total value of pixels from each image.Can be used to increase tonal range if used with bracketed exposures. Mid-Range-uses the middle pixel values from each image. ![]() Good for analysing what has changed between each image.
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